source · discovered

Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: discovered

No supporting source is linked yet.

Technical metadata and extraction receipts

Stable ID: fingerprint-scoring-2022

areas: molecular-interactions
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC9178954/
version: PMC archival version PMC9178954.1
retrieved at: 2026-09-15T23:29:32Z
doi: 10.1021/acsomega.2c02822
publication status: peer_reviewed
year: 2022
artifact sha256: 47bd60c6392b801095fdb604de06c0d4bda6f555bae58e9955e491a5abf60576
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC9178954/fullTextXML
artifact retrieved at: 2026-09-16T10:44:03.439460+00:00
legacy paper: id: fingerprint-scoring-2022; title: Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints; year: 2022; publication status: peer_reviewed; version: PMC archival version PMC9178954.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC9178954/; primary domain: molecular-interactions; retrieved utc: 2026-09-15T23:29:32Z; notes: Primary full text verified using Europe PMC XML; venue: ACS Omega; PMC ID: PMC9178954.; doi: 10.1021/acsomega.2c02822
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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